• 范勤勤

    发布时间:2020-11-17浏览次数:11101

    一🧚🏼🤟🏽、基础信息

    (一)个人基础信息

    姓名👨🏼‍🦱:范勤勤

    性别:男

    职称:副教授

    导师:管理科学与工程博士生导师/管理科学与工程硕士生导师/物流工程与管理硕士生导师

    电子邮箱:qqfan@shmtu.edu.cn

    (二)教育经历

     2012.092015.06:华东理工大学信息科学与工程意昂5,获博士学

    2008.092011.03:华东理工大学信息科学与工程意昂5𓀐🏌🏻,获硕士学位

    2003.092007.07:武汉工程大学电气信息意昂5🧘🏻‍♂️👩🏼‍🏫,获学士学位

    (三)工作经历

      2015.09—🐗:意昂5平台网物流研究中心,副教授

    2011.052012.08:浙江工程设计有限公司电仪室,助理工程师

    二、科学研究

    (一)研究领域

    1. 约束优化🚰、多目标优化、进化算法🥶🤶🏼、机器学习。

    2. 物流运作优化、博弈优化😬、rfid网络布局优化、动态优化等。

    3. 工业应用👩🏼‍🍼。

    (二)代表性论文成果

    已发表论文20余篇,其中SCI收录论文14篇、EI收录论文2篇。

    [1] Q.Q. Fan and X.F. Yan. Self-adaptive differential evolution algorithm with zoning evolution of control parameters and adaptive mutation strategies. IEEE Transactions on Cybernetics, 2016, 46(1):219-232.

    [2] Q.Q. Fan *, X.F. Yan, Y.L. Zhang. Auto-selection mechanism of differential evolution algorithm variants and its application. European Journal of Operational Research, 2017.doi.org/10.1016/j.ejor.2017.10.013

    [3] Q.Q. Fan and X.F. Yan. Self-adaptive differential evolution algorithm with discrete mutation control parameters. Expert Systems with Applications, 2015, 42(3):1551-1572.

    [4]Q.Q. Fan *, W.L. Wang, and X.F. Yan. Multi-objective differential evolution with performance-metric-based self-adaptive mutation operator for chemical and biochemical dynamic optimization problems. Applied Soft Computing, 2017. 59: 33-44

    [5] Q.Q. Fan and X.F. Yan. Self-adaptive particle swarm optimization with multiple velocity strategies and its application for p-xylene oxidation reaction process optimization. Chemometrics and Intelligent Laboratory Systems, 2014, 12,139(15): 15-25.

    [6] Q.Q. Fan* and Y.L. Zhang. Self-adaptive differential evolution algorithm with crossover strategies adaptation and its applications in parameter estimation. Chemometrics and Intelligent Laboratory Systems, 2016, 151:164-171.

    [7] Q.Q. Fan and X.F. Yan. Multi-objective modified differential evolution algorithm with archive-base mutation for solving multi-objective optimization of p-xylene oxidation reaction process. Journal of Intelligent Manufacturing, 2018. 29(1):35-49.

    [8] Q.Q. Fan and X.F. Yan. Differential evolution algorithm with self-adaptive strategy and control parameters for p-xylene oxidation process optimization. Soft Computing, 2015, 19(5): 1363-1391.

    [9] Q.Q. Fan*, X.F. Yan, and Y. Xue. Prior knowledge guided differential evolution. Soft Computing, 2017. 21(22):6841-6858.

    [10] Y.M. Dong🫸,Q.Q. Fan, and X.F. Yan. Development of a hybrid model for sodium gluconate fermentation by aspergillus niger. Journal of Chemical Technology and Biotechnology, 2014, 89(12):1875-1882.

    [11] Q.Q. Fan *, W.L. Wang, and X.F. Yan. Differential evolution algorithm with strategy adaptation and knowledge-based control parameters. Artificial Intelligence Review, 2017: 1-35. DOI 10.1007/s10462-017-9562-6

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